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Pothik Chatterjee says Houston Methodist & Rice University's Digital Health Institute combines AI algorithms with data from disparate sources including clinical images to uncover patterns that can inform patient care.

The University of Maryland Medical Center's Tiffany Kuebler urges healthcare leaders to begin AI implementation with workflows that are technologically ready for it and that will deliver the most operational value.

Domestic Artificial Intelligence's Emily Kate Genatowski discusses how she has been living with domestic robot Tova for more than a year to uncover insights about how robots can coexist with people in everyday life.

Mayo Clinic's Dr. Alexander Ryu says AI models trained on genomic data may be able to predict disease or recommend treatments, but researchers must first understand how these models work to ensure their trustworthiness.

Mental health crises rarely happen during appointments, so author Davor Mucić says that approved digital tools may improve outcomes for patients who need extra help before their next visit.

Tara Steele, executive director of the Safe AI for Children Alliance, says new AI apps must be proactively built to shield children from harm, rather than changed after children have been harmed or endangered.

As AI technology becomes more widely accepted, Anne Snowdon, HIMSS' chief scientific research officer, says healthcare leaders increasingly demand proof that AI tools can solve their specific challenges in measurable ways.

The feedback is revenue and reimbursement aren’t rising at the same rate as cost, says Ben Albert, CEO of Health Catalyst.

Dr. Leeda Rashid, formerly of the FDA Digital Health Center of Excellence, recommends that the federal government develop enforceable governance frameworks with oversight and accountability that cover AI tools' full lifecycles.

Megan Coder of the Society for Digital Mental Health cautions that patients may rely on general-purpose AI chatbots that are unsuitable for mental health treatment rather than seek care from a human clinician.

Eric Poon, Duke University Health System CHIO, says the system has gone from being drawn to trendy AI tools to ensuring that AI investments align with its organizational priorities.

The challenge is having that information flow be more proactive, says Dr. Steven Lane, CMO of Health Gorilla.